3c506b076e
* bump scala to 2.12 which requires java 8 and also newer flink and akka * put scala version in artifactId * fix appveyor * fix for scaladoc issue that looks like https://github.com/scala/bug/issues/10509 * fix ci_build * update versions in generate_pom.py * fix generate_pom.py * apache does not have a download for spark 2.4.3 distro using scala 2.12 yet, so for now i use a tgz i put on s3 * Upload spark-2.4.3-bin-scala2.12-hadoop2.7.tgz to our own S3 * Update Dockerfile.jvm_cross * Update Dockerfile.jvm_cross
43 lines
2.8 KiB
Bash
Executable File
43 lines
2.8 KiB
Bash
Executable File
#!/bin/bash
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set -e
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set -x
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# Initialize local Maven repository
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./tests/ci_build/initialize_maven.sh
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# Get version number of XGBoost4J and other auxiliary information
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cd jvm-packages
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xgboost4j_version=$(mvn help:evaluate -Dexpression=project.version -q -DforceStdout)
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maven_compiler_source=$(mvn help:evaluate -Dexpression=maven.compiler.source -q -DforceStdout)
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maven_compiler_target=$(mvn help:evaluate -Dexpression=maven.compiler.target -q -DforceStdout)
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spark_version=$(mvn help:evaluate -Dexpression=spark.version -q -DforceStdout)
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scala_version=$(mvn help:evaluate -Dexpression=scala.version -q -DforceStdout)
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scala_binary_version=$(mvn help:evaluate -Dexpression=scala.binary.version -q -DforceStdout)
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# Install XGBoost4J JAR into local Maven repository
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mvn --no-transfer-progress install:install-file -Dfile=./xgboost4j/target/xgboost4j_${scala_binary_version}-${xgboost4j_version}.jar -DgroupId=ml.dmlc -DartifactId=xgboost4j_${scala_binary_version} -Dversion=${xgboost4j_version} -Dpackaging=jar
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mvn --no-transfer-progress install:install-file -Dfile=./xgboost4j/target/xgboost4j_${scala_binary_version}-${xgboost4j_version}-tests.jar -DgroupId=ml.dmlc -DartifactId=xgboost4j_${scala_binary_version} -Dversion=${xgboost4j_version} -Dpackaging=test-jar -Dclassifier=tests
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mvn --no-transfer-progress install:install-file -Dfile=./xgboost4j-spark/target/xgboost4j-spark_${scala_binary_version}-${xgboost4j_version}.jar -DgroupId=ml.dmlc -DartifactId=xgboost4j-spark_${scala_binary_version} -Dversion=${xgboost4j_version} -Dpackaging=jar
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mvn --no-transfer-progress install:install-file -Dfile=./xgboost4j-example/target/xgboost4j-example_${scala_binary_version}-${xgboost4j_version}.jar -DgroupId=ml.dmlc -DartifactId=xgboost4j-example_${scala_binary_version} -Dversion=${xgboost4j_version} -Dpackaging=jar
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cd xgboost4j-tester
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# Generate pom.xml for XGBoost4J-tester, a dummy project to run XGBoost4J tests
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python3 ./generate_pom.py ${xgboost4j_version} ${maven_compiler_source} ${maven_compiler_target} ${spark_version} ${scala_version} ${scala_binary_version}
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# Run unit tests with XGBoost4J
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mvn --no-transfer-progress package
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# Run integration tests with XGBoost4J
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java -jar ./target/xgboost4j-tester_${scala_binary_version}-1.0-SNAPSHOT-jar-with-dependencies.jar
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# Run integration tests with XGBoost4J-Spark
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if [ ! -z "$RUN_INTEGRATION_TEST" ]
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then
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python3 get_iris.py
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spark-submit --class ml.dmlc.xgboost4j.scala.example.spark.SparkTraining --master 'local[8]' ./target/xgboost4j-tester_${scala_binary_version}-1.0-SNAPSHOT-jar-with-dependencies.jar ${PWD}/iris.csv
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spark-submit --class ml.dmlc.xgboost4j.scala.example.spark.SparkMLlibPipeline --master 'local[8]' ./target/xgboost4j-tester_${scala_binary_version}-1.0-SNAPSHOT-jar-with-dependencies.jar ${PWD}/iris.csv ${PWD}/native_model ${PWD}/pipeline_model
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fi
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set +x
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set +e
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